基于灰色理论的数控机床主轴热误差温度测点优化

摘要

To improve processing precision of numerical machine tool, research on analyze the thermal error of spindle, the grey correlation analysis method is used to optimize the thermal key points to build the model of temperature field on the basis of temperature measurement experiment. By optimizing, the number of temperature measuring points from 8 to 3. In this way, the precision of thermal error model and thermal error prediction can be improved.%为了保证数控机床的加工精度,提高其加工质量,针对影响数控机床热误差的机床主轴温度场分布问题,对主轴系统在加工过程中的温度场变化情况进行了实际的测温实验,在实验的基础上利用灰色理论中关联度分析的方法,对主轴温度场上温度传感器的优化布点进行了研究,从初始实验中的8个温度测点减少到3个关键的温度测点,更有利于提高今后的建模及热误差预测的精度.